static TensorShape getShape(const tensorflow::NodeDef& node) {
TensorShape resultShape;
if(node.attr().count("shape") > 0) {
auto shape = node.attr().at("shape").shape();
for(int i = 0; i < shape.dim_size(); i++) {
resultShape.addDimension(shape.dim(i).size());
}
}
return resultShape;
}
void dimension_check(const T& x, const U& hyper1) {
if(dim_size(hyper1) > dim_size(x)) {
throw std::logic_error("ERROR: dimensions of hyperparmeters are larger than the stochastic variable itself (is this really what you wanted to do?)");
}
}
void TensorflowTensor::create(tensorflow::Tensor&& tensorflowTensor) {
m_tensorflowTensor = tensorflowTensor;
auto shape = m_tensorflowTensor.shape();
for(int i = 0; i < shape.dims(); ++i)
m_shape.addDimension(shape.dim_size(i));
}
double size() const { return dim_size(value); }
